https://github.com/gatenlp/peft_fft_multilingual

https://github.com/gatenlp/peft_fft_multilingual

Last synced: 9 months ago
JSON representation

• Host: GitHub
• URL: https://github.com/gatenlp/peft_fft_multilingual
• Owner: GateNLP
• License: lgpl-3.0
• Created: 2023-10-24T09:56:49.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-05-09T11:00:57.000Z (about 2 years ago)
• Last Synced: 2025-09-06T09:47:39.997Z (9 months ago)
• Language: Python
• Size: 46.9 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Citation: CITATION.cff

Awesome Lists containing this project

README

          
# Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification

This is the source repository for _Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification_ ([paper](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0301738)).

The repository is also archived [on Zenodo](https://doi.org/10.5281/zenodo.10066649).